tmdb
Search movies/TV, get cast, ratings, streaming info, and personalized recommendations via TMDb API.
Quellinformationen
- Repository
- ThinkfleetAI/thinkfleet-engine
- Letzte Quellaktivität
- 16. Februar 2026 um 17:03
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 0
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
SKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- tmdb
- description
- Search movies/TV, get cast, ratings, streaming info, and personalized recommendations via TMDb API.
- homepage
- https://www.themoviedb.org/
- metadata
- {"thinkfleetis":{"emoji":"🎬","requires":{"bins":"[Truncated]","env":"[Truncated]"},"primaryEnv":"TMDB_API_KEY"}}
# TMDb - The Movie Database
Comprehensive movie and TV information with streaming availability, recommendations, and personalization.
## Setup
Set environment variable:
- `TMDB_API_KEY`: Your TMDb API key (free at themoviedb.org)
## Quick Commands
### Search
```bash
# Search movies
uv run {baseDir}/scripts/tmdb.py search "Inception"
# Search TV shows
uv run {baseDir}/scripts/tmdb.py search "Breaking Bad" --tv
# Search people (actors, directors)
uv run {baseDir}/scripts/tmdb.py person "Christopher Nolan"
```
### Movie/TV Details
```bash
# Full movie info
uv run {baseDir}/scripts/tmdb.py movie 27205
# With cast
uv run {baseDir}/scripts/tmdb.py movie 27205 --cast
# TV show details
uv run {baseDir}/scripts/tmdb.py tv 1396
# By name (searches first, then shows details)
uv run {baseDir}/scripts/tmdb.py info "The Dark Knight"
```
### Where to Stream
```bash
# Find streaming availability
uv run {baseDir}/scripts/tmdb.py where "Inception"
uv run {baseDir}/scripts/tmdb.py where 27205
# Specify region
uv run {baseDir}/scripts/tmdb.py where "Inception" --region GB
```
### Discovery
```bash
# Trending this week
uv run {baseDir}/scripts/tmdb.py trending
uv run {baseDir}/scripts/tmdb.py trending --tv
# Recommendations based on a movie
uv run {baseDir}/scripts/tmdb.py recommend "Inception"
# Advanced discover
uv run {baseDir}/scripts/tmdb.py discover --genre action --year 2024
uv run {baseDir}/scripts/tmdb.py discover --genre sci-fi --rating 7.5
```
### Personalization
```bash
# Get personalized suggestions (uses Plex history + preferences)
uv run {baseDir}/scripts/tmdb.py suggest <user_id>
# Set preferences
uv run {baseDir}/scripts/tmdb.py pref <user_id> --genres "sci-fi,thriller,drama"
uv run {baseDir}/scripts/tmdb.py pref <user_id> --directors "Christopher Nolan,Denis Villeneuve"
uv run {baseDir}/scripts/tmdb.py pref <user_id> --avoid "horror,romance"
# View preferences
uv run {baseDir}/scripts/tmdb.py pref <user_id> --show
```
### Watchlist
```bash
# Add to watchlist
uv run {baseDir}/scripts/tmdb.py watchlist <user_id> add 27205
uv run {baseDir}/scripts/tmdb.py watchlist <user_id> add "Dune: Part Two"
# View watchlist
uv run {baseDir}/scripts/tmdb.py watchlist <user_id>
# Remove from watchlist
uv run {baseDir}/scripts/tmdb.py watchlist <user_id> rm 27205
```
## Integrations
### Plex
If the Plex skill is available, `suggest` command pulls recent watch history to inform recommendations.
### ppl.gift (CRM)
If ppl skill is available, preferences are stored as notes on the user's contact for persistence across sessions.
## Genre IDs
Common genres for `--genre` filter:
- action (28), adventure (12), animation (16)
- comedy (35), crime (80), documentary (99)
- drama (18), family (10751), fantasy (14)
- horror (27), mystery (9648), romance (10749)
- sci-fi (878), thriller (53), war (10752)
## Notes
- TMDb API: 40 requests per 10 seconds (free tier)
- Watch providers vary by region (default: US)
- Recommendations combine TMDb data + user preferences + watch history
Auf GitHub ansehen